Apache Kafka Certification Training - eLearning
450,00 EUR
- 50 hours
AVC's Kafka certification enables you to learn how to efficiently process large volumes of data using a variety of tools. This training will help you enhance your Big Data analytics expertise. With our blended learning approach, you'll master the fundamentals of Apache Kafka while exploring its practical applications. Dive into a cutting-edge curriculum crafted by industry experts and gain the job-ready skills needed to excel as a Kafka developer.
Key Features
Language
Course and material are in English
Level
Beginner - Intermediate for aspiring data engineer
Access
1 year access to the self-paced study eLearning platform 24/7
9,5 hours of video content
with 50 hours study time recommended
Case study
Includes 1 industry-based case study
No exam
No exam for the course but student will get certification of training completion
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Learning Outcomes
At the end of this course, you will be able to:
Understanding Apache Kafka Fundamentals
Learn the architecture and core components of Kafka, including producers, consumers, brokers, topics, partitions, and logs.
Mastering Kafka Operations
Learn how to monitor, troubleshoot, and maintain Kafka environments.
Building Real-Time Data Pipelines
Develop the ability to design and implement real-time data pipelines using Kafka producers and consumers.
Ensuring Data Reliability and Scalability
Implement strategies for data durability, fault tolerance, and scalability in Kafka-based systems.
Course timeline
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Introduction to Apache Kafka
Lesson 01
- Big Data overview
- Big Data Analytics
- Messaging System
- Kafka Overview
- Kafka Components and Architecture
- Kafka Clusters
- Kafka Industry Usecases
- Demo: Install Kafka and Zookeeper
- Demo: Single Node Single-Multi Broker Cluster
Kafka Producer
Lesson 02
- Overview of producer and its architecture
- Kafka producer configuration
- Send Messages
- Serializers
- Partitions
Kafka Consumer
Lesson 03
- Poll Loop
- Configuring Consumer
- Commit and offset
- Rebalance Listeners
- Consuming records with a specific offset
- Deserializers
Kafka Operations and Performance Tuning
Lesson 04
- Learning Objectives
- Replications
- Storage
- Configuration in Reliable System
Kafka Cluster Architecture and Administering Kafka
Lesson 05
- Multi Cluster Architecture
- MirrorMaker
- Administering Kafka
- Dynamic Configuration Changes
- Console Producer Tool
- Console Consumer Tool
Kafka Monitoring and Schema Registry
Lesson 06
- Monitoring
- Kafka Schema Registry and Avro
- Kafka Schema Registry Components
- Kafka Schema Registry Working
Kafka Streams and Kafka Connectors
Lesson 07
- Kafka Stream architecture, working and components
- Stream concepts and working
- Kafka Connectors
Integration of kafka with storm
Lesson 08
- Apache Storm architecture and components
- Apache Storm Topology
- Kafka Spout
- Integration of Apache Storm and Kafka
Kafka integration with Spark and Flume
Lesson 09
- Basics of Spark -RDD, Data Sets, and Transformation and actions
- Spark Stream
- Spark Integration with Kafka
- Flume
- Flume Kafka to HDFS Configuration
Admin Client and Securting Kafka
Lesson 10
- Admin Client
- Kafka Security
- Kafka security components
- Configure SSL in Kafka
- Secure using ACLs
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Who Should Enroll in this Program?
An Apache Kafka certification course is ideal for a wide range of professionals and individuals looking to enhance their skills in data streaming, real-time analytics, and distributed systems.
Software Developers
Data Engineers
Big Data Professionals
DevOps Engineers
System Administrators
Business Intelligence (BI) Professionals
Solutions architects
Students and Fresh Graduates
Prerequisites
There is no formal requirement to enroll the course. The prerequisites for taking an Apache Kafka certification training course are generally minimal, but having a foundational understanding of certain concepts and technologies will greatly enhance your learning experience.
Basic Programming Knowledge
- Languages: Proficiency in at least one programming language such as Java, Python, or Scala is helpful, as Kafka is typically used within these environments.
- Understanding of Concepts: Knowledge of object-oriented programming (OOP) concepts, data structures, and basic algorithms is beneficial.
Understanding of Distributed Systems
- Concepts: Familiarity with distributed system fundamentals such as nodes, clusters, and network protocols will be helpful. Kafka operates as a distributed messaging system, so understanding how distributed systems work is key.
- High Availability and Fault Tolerance: A basic understanding of how distributed systems ensure uptime, replication, and fault tolerance can be valuable.
Basic Knowledge of Linux/Unix
- Kafka is typically deployed on Linux-based systems, so basic skills in the Linux command line for system navigation and operations will be beneficial.
- Knowledge of managing processes, files, and directories in Linux can help with Kafka setup and maintenance.
Familiarity with Databases (Optional but Helpful)
- Basic understanding of databases (relational or NoSQL) and concepts like data replication and scaling can help in understanding Kafka’s distributed data storage model.
Frequently Asked Question
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